Title
Approximation on anisotropic Besov classes with mixed norms by standard information
Abstract
This article considers the approximation problem on periodic functions of anisotropic Besov classes with mixed norms using standard information. The asymptotic decay rates of the best algorithms in the worst-case setting are determined. An interpolating algorithm that attains this decay rate is given as well.
Year
DOI
Venue
2005
10.1016/j.jco.2005.01.001
J. Complexity
Keywords
DocType
Volume
information-based complexity,asymptotic decay rate,best algorithm,anisotropic Besov class,standard information,interpolation,Exact order,optimal recovery,Interpolation,approximation problem,mixed norm,interpolating algorithm,worst-case setting,Optimal recovery,periodic function,exact order,decay rate,Information-based complexity
Journal
21
Issue
ISSN
Citations 
3
Journal of Complexity
4
PageRank 
References 
Authors
0.57
2
3
Name
Order
Citations
PageRank
FANG GENSUN1268.25
Fred J. Hickernell257786.16
Huan Li3348.69